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Machine learning models for predicting non-alcoholic fatty liver disease in the general United States population: NHANES database
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, affecting over 30% of the United States population. Early patient identification using a simple method is highly desirable. AIM: To create machine learning models for predicting NAFLD in the general Unite...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Baishideng Publishing Group Inc
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568572/ https://www.ncbi.nlm.nih.gov/pubmed/34786176 http://dx.doi.org/10.4254/wjh.v13.i10.1417 |